KPI-Supported PDCA Model for Innovation Policy Management in Local Government

A comprehensive model for the management, monitoring and assessment of the innovation projects implemented by the local government is presented. The model is based on the classic Deming PDCA quality-oriented process. It is defined in collaboration with our local government partner in order to measure the effective impact of the innovation policies developed by the public administrations. An "eGovernment Intelligence" framework has been designed and is currently being developed and tested. The main features are: (a) the qualification of the policies/projects and the definition of innovation targets, (b) a systematic and staggered measurement of the relevant innovation, economic and social indicators at the needed scale, (c) a detailed, geo-referentiated analysis of the territorial evolution pattern of the indicators, (d) the reassessment of policies and projects against the results obtained.

[1]  Hans Wiklund,et al.  A Habermasian analysis of the deliberative democratic potential of ICT-enabled services in Swedish municipalities , 2005, New Media Soc..

[2]  Matteo Golfarelli.  Open Source BI Platforms: A Functional and Architectural Comparison , 2009, DaWaK.

[3]  Luis Borges Gouveia,et al.  Governmeter: Monitoring Government Performance. A Web Based Application Proposal , 2010, EGOVIS.

[4]  Agostino Cortesi,et al.  An Ontology-based Inquiry Framework , 2008, SWAP.

[5]  Rahul De',et al.  Rituals in E-Government Implementation: An Analysis of Failure , 2010, EGOV.

[6]  Michael Schrenk,et al.  Webbots, Spiders, and Screen Scrapers: A Guide to Developing Internet Agents with PHP/CURL , 2007 .

[7]  Alan J. Tomkins,et al.  Public input for municipal policymaking: engagement methods and their impact on trust and confidence , 2010, DG.O.

[8]  Volker Stix,et al.  Elements of Comprehensive Assessments of IT Infrastructure Projects in the Austrian Ministry of Finance , 2010, EGOVIS.

[9]  Tomasz Janowski,et al.  A whole-of-government approach to information technology strategy management , 2010, DG.O.

[10]  Agostino Cortesi,et al.  Three-layered QoS for eGovernment web services , 2010, DG.O.

[11]  Roberta Rabellotti,et al.  ICTs in Industrial Districts: An Empirical Analysis on Adoption, Use and Impact in the Biella Textile District , 2004 .

[12]  Marijn Janssen,et al.  Measuring and Benchmarking the Back-end of E-Government: A Participative Self-assessment Approach , 2010, EGOV.

[13]  Gianluca Misuraca,et al.  Assessing Emerging ICT-Enabled Governance Models in European Cities: Results from a Mapping Survey , 2010, EGOV.

[14]  Francesco Venturini,et al.  The long-run impact of ICT , 2009 .

[15]  B. Anderson,et al.  The impact of local ICT initiatives on social capital and quality of life , 2006 .

[16]  Reinhard Riedl,et al.  Assessing and evaluating value and cost effectiveness of e-government initiatives: focusing the step of the financial evaluation , 2010, DG.O.

[17]  Yannis Charalabidis,et al.  Defining a Taxonomy for Research Areas on ICT for Governance and Policy Modelling , 2010, EGOV.

[18]  Bram Klievink,et al.  ICT-project failure in public administration: the need to include risk management in enterprise architectures , 2010, DG.O.